AI / Machine Learning Engineer

Job Title: AI / Machine Learning Engineer Job Description We are seeking a talented AI / Machine Learning Engineer to develop and implement machine learning and deep learning algorithms focused on imagery and sensor exploitation. This role involves designing AI solutions for object detection, classification, tracking, and anomaly detection, and building and optimizing computer vision pipelines for real-time or near-real-time processing.

Responsibilities Design AI solutions for object detection, classification, tracking, and anomaly detection. Build and optimize computer vision pipelines for real-time or near-real-time processing. Develop data ingestion, labeling, and feature engineering workflows. Support deployment of AI/ML algorithms onto embedded, edge, or space-qualified computing environments. Collaborate with systems engineers to derive AI requirements and validate algorithm performance.

Work with software engineers to transition prototypes into operational applications. Evaluate model performance using mission-relevant metrics and datasets. Create automated testing, validation, and model monitoring capabilities. Support customer demonstrations, technical reviews, and program milestones. Contribute to research and development efforts involving advanced sensing technologies and autonomous systems.

Essential Skills Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field. 5+ years of professional software development experience. 3+ years of hands-on machine learning or artificial intelligence experience. Strong Python development experience. Experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.

Experience developing production-grade software solutions. Strong understanding of Supervised Learning, Unsupervised Learning, and Reinforcement Learning concepts. Experience with model training and validation. Experience processing large datasets. Experience using Linux development environments. Ability to explain model decisions and performance trade-offs. U.S. Citizenship required. Additional Skills & Qualifications Master's or PhD in Machine Learning, Computer Vision, Artificial Intelligence, Computer Science, Physics, Mathematics, or related field.

Experience in Computer Vision, Object Detection, Sensor Fusion, Image Processing, Multi-Target Tracking, and Geospatial Analytics. Aerospace or defense program experience. Knowledge of space systems, satellite payloads, or ISR platforms. Experience with IR imaging systems. CUDA / GPU optimization experience. Experience with MLOps pipelines and model deployment. Experience with AWS GovCloud, Azure Government, or secure cloud environments.

Familiarity with classified environments or security clearance processes. Experience deploying AI models to embedded hardware, FPGA accelerators, or edge computing devices. Work Environment This position offers a remote work environment. The technical environment includes programming languages such as Python, C++, and MATLAB (preferred). Tools and frameworks used include PyTorch, TensorFlow, OpenCV, Scikit-Learn, NumPy, Pandas, Docker, and Git.

Nice-to-have technologies include Kubernetes, CUDA, ONNX, Ray, MLFlow, and Apache Spark. Job Type & Location This is a Contract position based out of Tucson, AZ. Pay and Benefits The pay range for this position is $80.00 - $100.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medi